class_docstr: Searches for structured entities, e.g. dates, using a duckling server.
docstr: Creates component (see parent class for full docstring).
docstr_tok: ["Creates","component","(","see","parent","class","for","full","docstring",")","."]
code: def create(
      cls,
      config: Dict[Text, Any],
      model_storage: ModelStorage,
      resource: Resource,
      execution_context: ExecutionContext,
  ) -> DucklingEntityExtractor:
      """Creates component (see parent class for full docstring)."""
      return cls(config)
  
imports: from __future__ import annotations
  import time
  import json
  import logging
  import os
  import requests
  from typing import Any, List, Optional, Text, Dict
  import rasa.utils.endpoints
  from rasa.engine.graph import GraphComponent, ExecutionContext
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.constants import DOCS_URL_COMPONENTS
  from rasa.shared.nlu.constants import ENTITIES, TEXT
  from rasa.nlu.extractors.extractor import EntityExtractorMixin
  from rasa.shared.nlu.training_data.message import Message
  import rasa.shared.utils.io
label_desc: Use image node_id 3 for calling the DucklingEntityExtractor obj's underlying member method code with example usage: obj.create(cls, config, model_storage, resource, execution_context) and returns: cls